Sr. AWS Data Engineer

Company Description

At Vroutes HR, we focus on creating coaction capabilities and empowering employers with the most precious asset-people. With a combination of innovative technology and personal touch, we have enabled marketing and advertising firms to achieve their vision. Founded in the year 2017 Vroutes HR have been striving hard to help agencies across India structure their human resources and achieve their short and long-term goals. We are lean and agile in adapting to the dynamic changes in modernized methods of HR functioning. From Staffing and Recruitment, Performance management, Training and Development, Employee Engagement, Compliance management, Payroll management, Grievances Handling, HR Strategy services and HR Audits we are a one stop solution for complete HR Solutions.

Job Description

We are seeking an experienced AWS Developer with strong expertise in AWS services such as S3, Glue, Athena, Bedrock, Kendra, and Quicksight. The ideal candidate should possess excellent communication skills and a solid understanding of cloud data processing and analytics. In this role, you will be responsible for managing and optimizing data pipelines, ensuring seamless data processing from ServiceNow CSV files stored in AWS S3.

Key Responsibilities:

• Design, develop, and maintain data pipelines using AWS services to process data from ServiceNow CSV files.

• Implement and optimize data workflows using AWS Glue for ETL (Extract, Transform, Load) processes.

• Utilize Amazon Athena for querying and analyzing large datasets stored in S3.

• Work with Amazon Bedrock to integrate AI capabilities into data workflows.

• Leverage Amazon Kendra for intelligent search solutions and knowledge management.

• Develop and maintain interactive dashboards and visualizations using Amazon Quicksight.

• Ensure data integrity, security, and compliance with AWS best practices.

• Collaborate with cross-functional teams to gather requirements and provide technical solutions.

• Troubleshoot and resolve issues related to data ingestion, transformation, and reporting.

• Optimize cloud costs and improve system performance through efficient resource utilization.

Qualifications

Required Skills & Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

• 5+ years of experience in AWS cloud services, specifically in AWS S3, Glue, Athena, Bedrock, Kendra, and Quicksight.

• Strong experience in building ETL pipelines and processing large datasets.

• Proficiency in writing complex SQL queries and data transformation logic.

• Hands-on experience with Python, AWS Lambda, and automation scripting.

• Familiarity with security and compliance best practices in AWS.

• Excellent problem-solving and debugging skills.

• Strong communication and interpersonal skills to effectively collaborate with stakeholders.

Preferred Qualifications:

• AWS certifications such as AWS Certified Solutions Architect, Data Analytics, or Developer Associate.

• Experience in working with ServiceNow data integration.

• Knowledge of AI/ML integration within AWS services.

• Experience with data governance and data cataloging tools.